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Research papers, The University of Auckland Library

Past earthquakes have consistently highlighted the vulnerabilities of the built environment. Current building codes, which focus primarily on life safety, fail to address the need for buildings to remain functional after a seismic event. The emerging concept of post-earthquake functional recovery aims to integrate recovery-based objectives into building codes. However, literature reveals a predominant focus on engineering parameters, with limited attention given to the perspectives of building users; a critical gap in understanding a building’s comprehensive functionality and path to functional recovery. Whilst structural integrity is essential, functionality following a disaster is not determined by physical stability alone. Thus, this study addresses this gap by exploring the perceptions and expectations of office building users (both tenants and property owners) regarding building functionality and post-earthquake functional recovery in New Zealand’s major urban centres: Wellington, Auckland, and Christchurch. A qualitative research strategy was employed, utilising interpretative phenomenological and grounded theory methods to develop insights from the lived experiences of twenty-six (26) participants. The study applied a systems thinking approach using a socio-technical systems (STS) framework to develop micro (single construct) and macro (multiple constructs) models of building-system functionality. The findings demonstrate that a building’s functionality is nuanced, multifaceted, and context dependent. It encompasses physical, economic, social, organisational, technical, regulatory, and environmental elements, and is ultimately determined by users’ specific needs and priorities. A key divergence emerged: whilst property owners prioritise economic and environmental factors, tenants focus on the socio-organisational aspect, viewing the physical workspace as an embodiment of corporate identity, culture, and values. Regarding expectations for post-earthquake functional recovery, the post-pandemic era has drastically reshaped outlooks. Unlike previous earthquakes, where tenants scrambled for any available space, there is now increased demand for flexibility due to the hybrid work model. The immediate return to an office following a major earthquake is now expected to support critical business functions, with essential services including power or a standby generator, technology to access files, water, as well as operations of air conditioning and elevators. By advancing socio-technical systems theory and elucidating building users’ perspectives for a building’s functionality and post-disaster functional recovery, this research provides evidence-based, social science insights to inform more holistic and effective risk governance in property and disaster risk management

Research papers, The University of Auckland Library

Quick and reliable assessment of the condition of bridges in a transportation network after an earthquake can greatly assist immediate post-disaster response and long-term recovery. However, experience shows that available resources, such as qualified inspectors and engineers, will typically be stretched for such tasks. Structural health monitoring (SHM) systems can therefore make a real difference in this context. SHM, however, needs to be deployed in a strategic manner and integrated into the overall disaster response plans and actions to maximize its benefits. This study presents, in its first part, a framework of how this can be achieved. Since it will not be feasible, or indeed necessary, to use SHM on every bridge, it is necessary to prioritize bridges within individual networks for SHM deployment. A methodology for such prioritization based on structural and geotechnical seismic risks affecting bridges and their importance within a network is proposed in the second part. An example using the methodology application to selected bridges in the medium-sized transportation network of Wellington, New Zealand is provided. The third part of the paper is concerned with using monitoring data for quick assessment of bridge condition and damage after an earthquake. Depending on the bridge risk profile, it is envisaged that data will be obtained from either local or national seismic monitoring arrays or SHM systems installed on bridges. A method using artificial neural networks is proposed for using data from a seismic array to infer key ground motion parameters at an arbitrary bridges site. The methodology is applied to seismic data collected in Christchurch, New Zealand. Finally, how such ground motion parameters can be used in bridge damage and condition assessment is outlined AM - Accepted manuscript